280 Data Architecture jobs in Singapore

We are seeking a seasoned data architecture specialist to join our team. In this role, you will be responsible for designing and implementing scalable data pipelines that meet the needs of our business.

• Develop and maintain robust data architectures using Python, ensuring optimal performance and scalability.
• Collaborate with cross-functional teams to understand requirements and automate deployment and monitoring.
• Optimize data storage solutions to enhance performance and troubleshoot issues efficiently.

Key Responsibilities:

• At least 8 years of experience in software or data engineering with proficiency in Python.
• Strong experience in unit and integration testing.
• Familiarity with DevOps practices and Agile methodologies.
• Excellent software engineering, analytical, and problem-solving skills.
• Good team player and communication skills.

About Our Company:

Our company is a technology-driven organization that values innovation and excellence. We are committed to delivering high-quality solutions to our clients and fostering a collaborative work environment.

As a vital component of our organization's infrastructure, you will play a pivotal role in the end-to-end architecture of systems, ensuring that detailed design and development align with our enterprise architecture.

This position defines technical design direction and software architecture for solutions, collaborating closely with project managers, digital business analysts, software engineers, and vendors.

• Translate business requirements into comprehensive application architectural specifications.
• Create, evaluate, and implement plans and design proposals for high-impact IT solutions, leveraging leading-edge technologies and methodologies. Consider long-term effectiveness, practicality, technical limitations, and criticality.
• Manage technical project delivery: perform code reviews, recommend code changes, collaborate with vendor development teams to resolve technical challenges, and analyze performance tuning and scalability improvements.
• Provide architecture and technical support during production incidents.

• Proven experience in solutioning and implementing enterprise/multitenant data analytics AI/ML platforms on AWS, preferably within GCC environments.
• Familiarity with commercial analytics products like Databricks, Informatica, data anonymization tools.
• Strong understanding of how to implement, secure, integrate, and troubleshoot these products with upstream/downstream systems such as Kinesis, SNS, SQS, API Gateway, EventBridge, Lambda.
• This role is focused on architectural integration and platform engineering rather than data science or data transformation logic.

• Experience in web application development or modernization.
• Background in cloud infrastructure engineering or systems integration beyond web-centric applications.

We help organizations modernize technology, reimagine processes, and transform experiences to stay ahead in a rapidly changing world.

We are seeking a seasoned Senior Data Engineer to take ownership of designing, building, and optimizing scalable data pipelines and infrastructure.

This role is ideal for someone with at least 5 years of experience in data engineering who is passionate about clean data architecture, performance optimization, and enabling data-driven decision making.

• Data Infrastructure: Design, develop, and maintain robust data pipelines and storage systems.
• Data Quality: Ensure high data reliability, consistency, and accuracy across all data flows.
• Performance Tuning: Optimize data processing jobs and system performance at scale.
• Process & Mentorship: Improve data engineering workflows and mentor junior data engineers.
• Collaboration: Work with analysts, data scientists, and backend teams to deliver timely, usable data solutions.

• Bachelor's degree in Computer Science, Information Systems, or equivalent qualification.
• Experience: Minimum 5 years in data engineering or related backend roles.
• Tech Stack: Proficient in SQL, Python, or Java/Scala; experience with big data tools like Spark, Flink, Kafka, Airflow, and cloud platforms (AWS/GCP/Azure).
• Data Modeling: Solid experience in building and maintaining data models, data warehouses, and ETL/ELT pipelines.
• System Design: Ability to design scalable, reliable data architectures that support analytics and real-time use cases.
• Data Governance: Familiar with best practices for data quality, security, lineage, and compliance.
• Cross-team Work: Strong communication skills and ability to work closely with product, engineering, and analytics teams.
• Fluent in English and Mandarin (written/spoken) to understand technical requirements.

• Team Mindset: Contribute to shared goals and support team members with a collaborative approach.
• Ownership: Take initiative and full responsibility for delivering high-quality data solutions.
• Adaptability: Open to feedback, eager to learn new technologies, and flexible in changing environments.
• Communication: Communicate complex technical topics clearly to both technical and non-technical stakeholders.

This is a challenging position where you will be responsible for expanding and optimizing data pipeline architecture.

• Design, develop, deploy and continuously improve ETL tasks
• Create efficient data pipelines for various applications

You will also ensure that data architecture is in place to support routine and ad-hoc requirements of the analytics team and stakeholders.

We are looking for someone with excellent technical skills, particularly in database development and cloud environment management. You should have hands-on experience in working with AWS services, such as EC2, S3, EMR and Redshift.

The ideal candidate should have a solid understanding of data crawling, data modeling, and data warehousing concepts.

• Min. 3 years' experience in data architecture, data warehousing, data processing, data modeling and ETL/ELT
• Familiarity with real-time streaming solutions
• Working experience in database development for Oracle SQL/PLSQL
• Skills in Python, R, SQL for data cleaning, processing and aggregation

This role offers a unique opportunity to work on cloud innovation and automation projects.

Our company provides a supportive working environment with hybrid working arrangements.

We offer exposure to Oracle and Amazon RDS, which will help you grow professionally.

Please submit your updated resume to apply for this position.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

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Direct message the job poster from Charterhouse Asia

A leading financial services firm is looking to hire a VP of Data Strategy & Architecture to join their dynamic data function. This leadership role will play a key part in designing robust data models that power core banking functions, regulatory reporting, risk analytics and broader strategic initiatives.

This is an exciting opportunity for a seasoned data professional who thrives in fast-paced, complex environments and is passionate about building scalable data architecture that drives meaningful business outcomes.

Responsibilities:

• Partner with business and technology stakeholders to gather data requirements related to banking products, customer transactions, reporting, and analytics.
• Design and maintain logical and physical data models that align with key business use cases.
• Convert complex business requirements into scalable, efficient data structures that support both operations and analytics.
• Lead the development and continuous improvement of data marts, data warehouses, and integration layers.
• Collaborate with engineering teams to ensure optimal deployment and performance of physical data models.
• Align data architecture with governance, quality, and metadata standards.
• Produce thorough documentation, including data dictionaries, data flow diagrams, and architecture designs to support regulatory, audit, and business needs.
• Contribute to data lineage, metadata, and data quality initiatives to enhance trust in enterprise data.

Requirements:

• Degree in Computer Science, Information Systems, Data Science, or related field (Master’s preferred).
• 10+ years of experience in data architecture, modeling, or data management, ideally within the financial services or banking sector.
• Solid understanding of data governance principles (e.g. DAMA-DMBOK).
• Proven expertise in building data models for banking, risk, compliance, and finance domains.
• Skilled in data modeling tools such as Erwin, PowerDesigner, or similar platforms.
• Strong SQL capabilities with hands-on experience working with large-scale financial data sets.
• Deep understanding of relational and dimensional modeling, as well as data warehousing and integration strategies.
• Familiarity with APAC financial regulatory frameworks is a plus.
• Strong interpersonal and communication skills, with the ability to engage and align with both technical and business stakeholders.

For a confidential discussion, please contact Jackie Panopio at +65 6950 0369 or via email at

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Financial Services, Data Infrastructure and Analytics, and IT System Data Services

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• Connect and collaborate with teams from other regions of the world to share best practices and global standards definitions.
• Interface with several corporate areas and preparation of technical documents, presentations, and reports.

• Providing a high-level, abstract representation of an organization's data requirements
• Design and implement comprehensive data management strategies aligned with business goals
• Domain-oriented data architecture (DODA) structures data around business domains, enabling
• Implement data governance policies and data quality control measures
• Develop and maintain enterprise data architecture solutions, including data warehouses and data lakes
• Ensure data security and compliance with relevant regulations
• Create data models and strategies to organize and store data entities efficiently
• Assess existing databases and data architectures for weaknesses

• Bachelor's Degree in Computer Science, Information Technology or relevant disciplines
• At least 13 years of experience in data architect and technologies
• Proficiency in programming languages such as Python, SQL, Java, and C++
• Deep understanding of database management systems and data modeling techniques
• Experience with Big Data technologies, cloud computing platforms, and data analytics tools
• Strong project management and time management abilities
• Excellent communication skills to collaborate with various stakeholders
• Develop data pipeline processes to move data from OLTP to OLAP systems

This senior-level role involves overseeing the design and implementation of complex data pipelines and systems. The ideal candidate will have a solid understanding of computer science and software engineering principles, with experience in large-scale data processing and analytics.

The selected individual will work closely with cross-functional teams to identify business requirements and develop tailored solutions using Python, SQL, and Apache Spark. A strong foundation in data governance policies and procedures is also essential for this position.

• A bachelor's degree in computer science, engineering, or a related field.
• 3-5 years of experience in data development or data platform development.
• Proven ability to lead the development of scalable data pipelines and systems.
• Familiarity with big data processing concepts and tools such as Hadoop, Spark, and NoSQL databases.
• Experience with cloud-based platforms like AWS, Azure, or GCP.

We offer a dynamic and collaborative work environment where you can grow professionally. Our benefits package includes comprehensive medical, dental, and vision insurance, as well as opportunities for advancement and skill development.

Quinnox Solutions Pte Ltd values diversity and equality in the workplace. We encourage applications from qualified candidates who share our commitment to delivering exceptional results and making a positive impact on our clients.

Job Opportunity:

A key role is available for a seasoned data solutions architect with expertise in designing and implementing Azure data architecture within banking environments.

• Develop and maintain Azure data architecture, ensuring compliance with data-related policies and standards.
• Design and implement data solutions using Databricks, including data pipelines, ETL processes, and data lakes.
• Collaborate with data governance teams to ensure data solutions comply with banking regulations.
• Monitor system performance, troubleshoot issues, and maintain up-to-date knowledge of the Azure platform, Databricks, and industry best practices.

• Bachelors degree in Computer Science, Computer Engineering, Information Systems, or a related discipline.
• Extensive experience with Azure services, including Azure SQL Database, Data Factory, Data Lake Store, Data Lake Analytics, Stream Analytics, Azure Storage, Cosmos DB, and Databricks.
• Proven expertise in designing and implementing solutions using Databricks, including Spark, Delta Lake, and MLflow.
• Proven experience in data architecture and management, preferably within a cloud environment.
• Banking experience or a strong understanding of banking regulations is preferred.

Benefits: Collaborative work environment, opportunities for growth and development, and competitive compensation package.

Apply now: Visit our website and search for Job Reference: ***REMOVED FOR SECURITY***

This position bridge between business operations and IT, playing a crucial role in enabling data-driven decision-making and supporting the organization's overall data strategy.

(Project Leadership)

• Connect and collaborate with teams from other regions of the world to share best practices and global standards definitions.
• Interface with several corporate areas and preparation of technical documents, presentations, and reports.

(Data Architecture)

• Providing a high-level, abstract representation of an organization's data requirements
• Design and implement comprehensive data management strategies aligned with business goals
• Domain-oriented data architecture (DODA) structures data around business domains, enabling
• Implement data governance policies and data quality control measures
• Develop and maintain enterprise data architecture solutions, including data warehouses and data lakes
• Ensure data security and compliance with relevant regulations
• Create data models and strategies to organize and store data entities efficiently
• Assess existing databases and data architectures for weaknesses

• Bachelor's Degree in Computer Science, Information Technology or relevant disciplines
• At least 13 years of experience in data architect and technologies
• Proficiency in programming languages such as Python, SQL, Java, and C++
• Deep understanding of database management systems and data modeling techniques
• Experience with Big Data technologies, cloud computing platforms, and data analytics tools
• Strong project management and time management abilities
• Excellent communication skills to collaborate with various stakeholders
• Develop data pipeline processes to move data from OLTP to OLAP systems

Thanks,

Saghana Sithara